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Statistical modeling of spatial distortion in hyperspectral calibration.

作者信息

Lo Edisanter, Fountain Augustus W, Ingram John

机构信息

Department of Mathematical Sciences, Susquehanna University, Selinsgrove, Pennsylvania 17870, USA.

出版信息

Appl Spectrosc. 2008 Nov;62(11):1189-99. doi: 10.1366/000370208786401626.

DOI:10.1366/000370208786401626
PMID:19007459
Abstract

This paper describes a statistically based efficient algorithm for the laboratory spectral calibration of a low-resolution terrestrial hyperspectral imaging camera operating in the visible range. Didymium oxide is used as a wavelength standard. The observed periodic spatial distortion in the wavelength abscissa of the hypercube is removed automatically through statistical modeling and the calibration of the wavelength abscissa is determined using a numerical method. The performance and cost of this algorithm in removing the spatial distortion are assessed quantitatively.

摘要

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